Back
Medium competition due to known startup brand and senior but specialized data SDET role.
High because role requires specific data engineering SDET experience, limiting cross-industry transferability.
High due to explicit 8+ years requirement and specialized data-platform SDET expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end data quality and reliability for enterprise data products within the data platform.
Design and implement automated testing frameworks for data pipelines, APIs, and platform capabilities ensuring data correctness and consistency.
Define and execute test strategies for AI-powered analytics, including validation of user intents and accuracy of AI-generated insights.
8+ years of experience in Software Development Engineer in Test (SDET) roles focused on Data Engineering and Data Platforms.
Proven ability to design automated testing frameworks for data pipelines and quality validation.
Experience with data quality metrics, validation rules, and anomaly detection for data products.
Work Experience Required: 8+ years in SDET for data engineering and data platforms.
Strong expertise in data models, pipelines, and enterprise data ecosystems with a focus on quality and reliability.
Experienced in collaborating with cross-functional teams including Data Engineering, Product, Analytics, and AI for delivering high-quality data products.
Proficiency in driving root cause analysis and preventive measures for production data quality issues.